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  1. Blog
  2. Your next patient is asking ChatGPT. Here's what it's saying about your clinic.
AI Visibility22 April 2026

Your next patient is asking ChatGPT. Here's what it's saying about your clinic.

Quick answer

More patients now research aesthetic treatments through ChatGPT, Claude, Gemini, and Perplexity than ever before — often before they ever land on a clinic website. The shortlist they form there shapes which clinics they consider, and which they never see. Most clinics have no idea what AI is currently saying about them, which is the first gap to close.

Open ChatGPT. Type: "Where can I get lip filler in Belfast?"

Watch what happens.

You'll get a confident, specific answer. Two or three clinics, named outright. Maybe a paragraph each on what they're known for. Possibly a recommendation on which to try first.

Now ask the same question for your city. Is your clinic in the answer?

For most aesthetic clinics in the UK and Ireland, the answer right now is no. And it's the single biggest acquisition shift happening to this industry — quietly, in the background, while everyone is still arguing about Instagram reach.

How patients are actually researching now

The journey used to look like this: Google search → click through three or four clinic websites → read reviews → maybe book a consultation. SEO ruled. Whoever owned the search results owned the leads.

That journey is fragmenting. A growing share of people — especially patients in their 20s, 30s and early 40s, which is most of your aesthetic market — now opens ChatGPT, Claude, Gemini, or Perplexity first. They ask:

  • "What's the best clinic for Botox in [city]?"
  • "Who does the most natural-looking lip filler near me?"
  • "Is [Clinic Name] any good?"
  • "What should I look for in an aesthetic practitioner?"

The AI doesn't show ten blue links. It gives them an answer. Often a name. Sometimes a comparison. Always with confidence — even when it's wrong.

Why this is a different game from SEO

Search engines reward whoever ranks highest for a keyword. AI engines reward whoever the model has been trained to associate with quality, authority, and specificity in your category.

That's a different signal. You can rank #1 on Google for "aesthetic clinic Edinburgh" and still not get mentioned by ChatGPT — because ranking is about backlinks and on-page SEO, while AI recommendation is about citations, structured information, expert content, and being talked about across the web in a way the model has actually ingested.

The two overlap. But they aren't the same thing. And the gap is widening fast.

The clinics being recommended right now

When we run audits across UK and Ireland aesthetic clinics, a clear pattern emerges. The clinics being named by ChatGPT and Perplexity tend to share three things:

  1. Distinctive, well-structured content on their own site — written like a real expert wrote it, not like a content agency wrote it for SEO.
  2. Citations and mentions across third-party sources — press, podcasts, association directories, Reddit threads, niche forums.
  3. A clear, repeatable identity — the clinic stands for something specific, and that specific thing shows up consistently everywhere.

Almost none of this is what an SEO agency would have told you to do five years ago. None of it is what a paid-ads agency is doing for you right now.

What you can do this week

Three things, all free:

Run the prompts yourself. Open ChatGPT and Claude. Ask the questions a patient in your area would ask. Write down what you see. If your clinic doesn't appear, note who does — and what's distinctive about their online presence.

Check what AI says about you specifically. Ask "Tell me about [Your Clinic Name]." See what comes back. The answer is often outdated, generic, or missing entirely. That's a problem you can fix.

Stop assuming SEO is enough. It's still important. But it's no longer sufficient on its own. The patients you'll lose to AI in the next two years are the same patients who would otherwise have found you on page one of Google.

What we do about this

At Orbyt, the entire reason we exist is to fix this for private aesthetic clinics. We track how AI describes you, identify what's missing, and rebuild the signals — content, structure, citations, authority — so your clinic gets recommended.

Before any of that, we'll run a free AI Visibility Audit on your clinic. You'll see exactly where you appear, where you don't, and which competitors are being mentioned instead. No pitch. No strings.

Get your free audit →

See how AI describes your clinic — get your free audit →

Frequently Asked Questions

Are patients really using ChatGPT to research aesthetic clinics?

Yes, increasingly. Patient research starts earlier in the journey than most clinics realise — often in a conversation with an AI assistant about treatment options, safety concerns, or local clinics — well before any clinic website is visited. By the time a patient lands on your site, the AI conversation has already shaped their shortlist.

What does a typical patient AI search look like?

Patients ask conversationally: 'I'm thinking about lip filler in [city], where should I look?' or 'What should I check for when choosing an aesthetic clinic?' The AI answers with named clinics or general advice. Clinics that consistently appear in those answers see consultation volume the others don't.

How can I see what ChatGPT currently says about my clinic?

Open ChatGPT and run a handful of patient-style prompts: 'What is [your clinic name] known for?', 'Best aesthetic clinic in [city]', '[Treatment] specialist in [city]'. Repeat in Claude, Gemini, and Perplexity. Note whether you appear, what's said about you, and whether competitors are recommended in your place.

Does AI mention my clinic by name?

It depends on your visibility. Some clinics are named clearly; others are described generically ('a well-reviewed clinic on the high street') without being named; many aren't mentioned at all. The pattern of how AI describes you reveals exactly which signals are working and which aren't.

What should I do if AI describes my clinic incorrectly?

Identify the source of the misinformation — usually it traces back to outdated directory listings, incorrect third-party content, or thin structured data. Fix the source signals, then give AI engines time to refresh. Misinformation rarely persists once the underlying signals are corrected.